NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?
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Abstract (arXiv)
The NLLG (Natural Language Learning & Generation) arXiv reports assist in navigating the rapidly evolving landscape of NLP and AI research across cs.CL, cs.CV, cs.AI, and cs.LG categories. This fourth installment captures a transformative period in AI history - from January 1, 2023, following ChatGPT's debut, through September 30, 2024. Our analysis reveals substantial new developments in the field - with 45% of the top 40 most-cited papers being new entries since our last report eight months ago and offers insights into emerging trends and major breakthroughs, such as novel multimodal architectures, including diffusion and state space models. Natural Language Processing (NLP; cs.CL) remains the dominant main category in the list of our top-40 papers but its dominance is on the decline in favor of Computer vision (cs.CV) and general machine learning (cs.LG). This report also presents novel findings on the integration of generative AI in academic writing, documenting its increasing adoption since 2022 while revealing an intriguing pattern: top-cited papers show notably fewer markers of AI-generated content compared to random samples. Furthermore, we track the evolution of AI-associated language, identifying declining trends in previously common indicators such as "delve".
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 32 of its 38 references that are in the map. First posted on arXiv 2 Dec 2024.
Builds on
32 of 38 references.
References · 32
- 2024The Llama 3 Herd of Modelscited by 14,192
- 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 7,916
- 2023Visual Instruction Tuningcited by 7,792
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
- 2023Improved Baselines with Visual Instruction Tuningcited by 4,362
- 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,175
- 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,155
- 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
- 2024Qwen2 Technical Reportcited by 2,076
- 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
- 2024Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phonecited by 1,883
- 2024ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Toolscited by 1,096
20 more
- 2024DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Modelcited by 1,093
- 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 1,051
- 2023Baichuan 2: Open Large-scale Language Modelscited by 664
- 2024KAN: Kolmogorov-Arnold Networkscited by 634
- 2024Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Modelcited by 468
- 2023Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvaturecited by 278
- 2024Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Textcited by 255
- 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviewscited by 160
- 2024Mapping the Increasing Use of LLMs in Scientific Paperscited by 112
- 2019On the Use of ArXiv as a Datasetcited by 101
- 2023A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directionscited by 101
- 2024Delving into LLM-assisted writing in biomedical publications through excess vocabularycited by 75
- 2024Empirical evidence of Large Language Model's influence on human spoken communicationcited by 27
- 2024Is ChatGPT Transforming Academics' Writing Style?cited by 26
- 2024ChatGPT "contamination": estimating the prevalence of LLMs in the scholarly literaturecited by 25
- 2024Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generationcited by 20
- 2024The Impact of Large Language Models in Academia: from Writing to Speakingcited by 18
- 2019Predicting Research Trends From Arxivcited by 5
- 2023NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers?cited by 3
- 2024Quantitative Analysis of AI-Generated Texts in Academic Research: A Study of AI Presence in Arxiv Submissions using AI Detection Toolcited by 3
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.